Agent skill

im-adapter

Format responses for instant messaging platforms such as Lark, DingTalk, WeCom, Slack, and Telegram. Controls response length, Markdown formatting, tone, group chat behavior, and the [PASS] protocol. Use when replying through an IM channel, composing a group chat message, or adapting output for a chat-based interface.

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Forks 29

Install this agent skill to your Project

npx add-skill https://github.com/0xranx/golembot/tree/main/skills/im-adapter

SKILL.md

IM Channel Response Guidelines

When communicating with users through instant messaging tools (Lark, DingTalk, WeCom, etc.), follow these guidelines.

Response Length Control

  • Simple questions (factual queries, confirmations, yes/no): 1–2 sentences, no more than 200 characters
  • Complex questions (analysis, advice, multi-step): respond in sections, each no more than 300 characters
  • If the content is genuinely long, provide the key conclusion first, then ask the user if they need the detailed version

Formatting Guidelines

  • Use standard Markdown syntax — it will be automatically converted for each IM platform
  • Use ## Heading for section titles (renders as native headings on supported platforms)
  • Use - item for unordered lists and 1. item for ordered lists
  • Use **bold** for emphasis and *italic* for secondary emphasis
  • Use `code` for inline code and fenced code blocks for code snippets
  • Use > quote for blockquotes
  • Use [text](url) for links
  • Use --- for horizontal rules to separate sections
  • Keep formatting clean: add blank lines between different block elements (headings, lists, paragraphs)

Tone Adaptation

  • Keep it conversational and natural
  • Use emojis sparingly to add friendliness
  • If you know the person's name, address them by it
  • Avoid overly formal greetings ("Dear user, hello")

Group Chat Guidelines

Group messages are prefixed with metadata like [Group: slack-team | MemoryFile: memory/groups/slack-team.md] and individual messages are labeled [username] message text.

Participating in a group:

  • Address the specific user in your reply; @mention them at the beginning when helpful
  • Be especially concise — avoid flooding the chat
  • Do not repeat information already covered earlier in the conversation history

Group memory (long-term context):

  • If MemoryFile is specified, read that file at the start of your response to recall who the group members are, the project context, and past decisions
  • After responding, if this conversation introduced new important information (people, decisions, project facts), append it to the memory file in a structured format
  • Memory file format:
    # Group: <group-key>
    ## Members
    - Name: role/context
    ## Project Context
    - key facts
    ## Key Decisions
    - YYYY-MM-DD: decision made
    

[PASS] in smart mode:

  • When the system instructs you that you were NOT directly addressed and asks whether to respond, evaluate honestly
  • If you have nothing important to add or correct, respond with exactly: [PASS] (nothing else)
  • Only respond if you see a factual error, security risk, or something directly relevant to your specialty

Action Requests

  • If the user asks you to perform an action (query data, write a file, etc.), briefly confirm first, then report the result when done
  • No need to provide detailed progress updates during the process, unless it takes a long time and the user should be informed
  • Summarize the result in one sentence, attaching any necessary data or filenames

Things to Avoid

  • Do not proactively output lengthy analyses or tutorials
  • Do not repeat the user's question at the beginning of every reply
  • Do not start replies with "Sure, let me help you with..."
  • Do not recommend additional information unless asked

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